MultiTroph: Multi-trophic interactions in a forest biodiversity experiment in China

Biodiversity-ecosystem functioning (BEF) research has shown that ecosystem functioning and stability are closely linked to biodiversity. A cornerstone of this field is the BEF-China research platform, i.e. the world’s largest forest biodiversity experiment in subtropical China. It has demonstrated that tree diversity enhances productivity, carbon sequestration and ecosystem stability. However, the strength of these positive tree diversity effects varies widely across forests, possibly because higher trophic levels (such as herbivores and predators) mediate how biodiversity influences ecosystem functioning. To better understand how tree diversity influences higher trophic levels and their contributions to forest functioning, the German Research Foundation (DFG) is funding the project MultiTroph . MultiTroph quantifies species interactions and integrates them into food webs to understand when and why ecosystem functions change or destabilise with species loss. We expect that trophic interaction networks reveal how species share or separate their ecological roles, with more niche overlap in species-rich forests and more niche specialisation in species-poor forests. Here, we outline our conceptual framework and research goals. We are convinced that MultiTroph will expand existing BEF research and provide a more holistic understanding of the role of multi-trophic food webs in forest ecosystems.

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Publication Details

Journal
Research Ideas and Outcomes
Published
2026-01-06
DOI
https://doi.org/10.3897/rio.12.e181743
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

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article

MultiTroph: Multi-trophic interactions in a forest biodiversity experiment in China

Tim Diekötter, Simon Thorn, Nina Kranke, Steffen Seitz et al.
Research Ideas and Outcomes
Plant and animal studies
article

MultiTroph: Multi-trophic interactions in a forest biodiversity experiment in China

Tim Diekötter, Simon Thorn, Nina Kranke, Steffen Seitz, Jana S. Petermann, Alexandra Erfmeier, Manuela Sann, Thomas Scholten, Andreas Schuldt, Michael C. Orr, Felix Fornoff, Heike Feldhaar, Helge Bruelheide, Zhi-shu Xiao, Ming-Qiang Wang, Christina M. Grozinger, Arong Luo, Michael Staab, Douglas Chesters, Finn Rehling, Yvonne Oelmann, Alexandra-Maria Klein, Huijie Qiao, Xiaojuan Liu, Chao-Dong ZHU, Yu Liang, Naili Zhang
article en

Abstract

Biodiversity-ecosystem functioning (BEF) research has shown that ecosystem functioning and stability are closely linked to biodiversity. A cornerstone of this field is the BEF-China research platform, i.e. the world’s largest forest biodiversity experiment in subtropical China. It has demonstrated that tree diversity enhances productivity, carbon sequestration and ecosystem stability. However, the strength of these positive tree diversity effects varies widely across forests, possibly because higher trophic levels (such as herbivores and predators) mediate how biodiversity influences ecosystem functioning. To better understand how tree diversity influences higher trophic levels and their contributions to forest functioning, the German Research Foundation (DFG) is funding the project MultiTroph . MultiTroph quantifies species interactions and integrates them into food webs to understand when and why ecosystem functions change or destabilise with species loss. We expect that trophic interaction networks reveal how species share or separate their ecological roles, with more niche overlap in species-rich forests and more niche specialisation in species-poor forests. Here, we outline our conceptual framework and research goals. We are convinced that MultiTroph will expand existing BEF research and provide a more holistic understanding of the role of multi-trophic food webs in forest ecosystems.

Research Ideas and OutcomesVol. 12
Leuphana University of Lüneburg (DE), Pennsylvania State University (US), University of Freiburg (DE), Philipps University of Marburg (DE), University of Salzburg (AT), Chinese Academy of Sciences (CN), Staatliches Museum für Naturkunde Stuttgart (DE), Beijing Forestry University (CN), Christian-Albrechts-Universität zu Kiel (DE), Natural History Museum of Bern (CH), University of Bayreuth (DE), Martin Luther University Halle-Wittenberg (DE), University of Göttingen (DE), University of Tübingen (DE)
Deutsche Forschungsgemeinschaft, Chinese Academy of Sciences, Albert-Ludwigs-Universität Freiburg, Institute of Zoology, Chinese Academy of Sciences
Life in Land
Openalex Percentile: Top 96%
Plant and animal studies
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